fix: Fixed some error/assertion types

crates/polars-expr/src/expressions/binary.rs

@@ -201,7 +201,7 @@ impl PhysicalExpr for BinaryExpr {
         polars_ensure!(
             lhs.len() == rhs.len() || lhs.len() == 1 || rhs.len() == 1,
             expr = self.expr,
-            ComputeError: "cannot evaluate two Series of different lengths ({} and {})",
+            ShapeMismatch: "cannot evaluate two Series of different lengths ({} and {})",
             lhs.len(), rhs.len(),
         );
         apply_operator_owned(lhs, rhs, self.op)

crates/polars-expr/src/expressions/sortby.rs

@@ -239,7 +239,7 @@ impl PhysicalExpr for SortByExpr {
                 for i in 1..s_sort_by.len() {
                     polars_ensure!(
                         s_sort_by[0].len() == s_sort_by[i].len(),
-                        expr = self.expr, ComputeError:
+                        expr = self.expr, ShapeMismatch:
                         "`sort_by` produced different length ({}) than earlier Series' length in `by` ({})",
                         s_sort_by[0].len(), s_sort_by[i].len()
                     );
@@ -254,7 +254,7 @@ impl PhysicalExpr for SortByExpr {
         let (sorted_idx, series) = (sorted_idx?, series?);
         polars_ensure!(
             sorted_idx.len() == series.len(),
-            expr = self.expr, ComputeError:
+            expr = self.expr, ShapeMismatch:
             "`sort_by` produced different length ({}) than the Series that has to be sorted ({})",
             sorted_idx.len(), series.len()
         );

py-polars/polars/testing/asserts/series.py

@@ -12,7 +12,7 @@
     unpack_dtypes,
 )
 from polars.datatypes.group import FLOAT_DTYPES
-from polars.exceptions import ComputeError, InvalidOperationError
+from polars.exceptions import ComputeError, InvalidOperationError, ShapeError
 from polars.series import Series
 from polars.testing.asserts.utils import raise_assertion_error
 
@@ -157,6 +157,14 @@ def _assert_series_values_equal(
             right=right.dtype,
             cause=exc,
         )
+    except ShapeError as exc:
+        raise_assertion_error(
+            "Series",
+            "incompatible lengths",
+            left=left,
+            right=right,
+            cause=exc,
+        )
 
     # Check nested dtypes in separate function
     if _comparing_nested_floats(left.dtype, right.dtype):

py-polars/tests/unit/expr/test_exprs.py

@@ -289,6 +289,7 @@ def test_power_by_expression() -> None:
     assert out["pow_op_left"].to_list() == [2.0, 4.0, None, 16.0, None, 64.0]
 
 
+@pytest.mark.may_fail_auto_streaming
 def test_expression_appends() -> None:
     df = pl.DataFrame({"a": [1, 1, 2]})
 

py-polars/tests/unit/operations/test_sort.py

@@ -808,7 +808,7 @@ def test_sort_string_nulls() -> None:
 
 def test_sort_by_unequal_lengths_7207() -> None:
     df = pl.DataFrame({"a": [0, 1, 1, 0], "b": [3, 2, 3, 2]})
-    with pytest.raises(pl.exceptions.ComputeError):
+    with pytest.raises(pl.exceptions.ShapeError):
         df.select(pl.col.a.sort_by(["a", 1]))
 
 

py-polars/tests/unit/test_errors.py

@@ -19,6 +19,7 @@
     PanicException,
     SchemaError,
     SchemaFieldNotFoundError,
+    ShapeError,
     StructFieldNotFoundError,
 )
 from tests.unit.conftest import TEMPORAL_DTYPES
@@ -293,10 +294,7 @@ def test_invalid_sort_by() -> None:
     )
 
     # `select a where b order by c desc`
-    with pytest.raises(
-        ComputeError,
-        match=r"`sort_by` produced different length \(5\) than the Series that has to be sorted \(3\)",
-    ):
+    with pytest.raises(ShapeError):
         df.select(pl.col("a").filter(pl.col("b") == "M").sort_by("c", descending=True))
 
 
@@ -447,9 +445,7 @@ def test_compare_different_len() -> None:
     )
 
     s = pl.Series([2, 5, 8])
-    with pytest.raises(
-        ComputeError, match=r"cannot evaluate two Series of different lengths"
-    ):
+    with pytest.raises(ShapeError):
         df.filter(pl.col("idx") == s)
 
 

py-polars/tests/unit/test_scalar.py

@@ -3,6 +3,7 @@
 import polars as pl
 
 
+@pytest.mark.may_fail_auto_streaming
 def test_invalid_broadcast() -> None:
     df = pl.DataFrame(
         {